Django Design Patterns and Best Practices. Easily build maintainable websites with powerful and relevant Django design patterns

Arun Ravindran

DynamoDB Cookbook. Over 90 hands-on recipes to design Internet scalable web and mobile applications with Amazon DynamoDB

Tanmay Deshpande

Learning pandas. Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

Michael Heydt

Infrastructure Monitoring with Amazon CloudWatch. Effectively optimize resource allocation, detect anomalies, and set automated actions on AWS

Ewere Diagboya

CloudWatch is Amazon’s monitoring and observability service, designed to help those in the IT industry who are interested in optimizing resource utilization, visualizing operational health, and eventually increasing infrastructure performance. This book helps IT administrators, DevOps engineers, network engineers, and solutions architects to make optimum use of this cloud service for effective infrastructure productivity.You’ll start with a brief introduction to monitoring and Amazon CloudWatch and its core functionalities. Next, you’ll get to grips with CloudWatch features and their usability. Once the book has helped you develop your foundational knowledge of CloudWatch, you’ll be able to build your practical skills in monitoring and alerting various Amazon Web Services, such as EC2, EBS, RDS, ECS, EKS, DynamoDB, AWS Lambda, and ELB, with the help of real-world use cases. As you progress, you'll also learn how to use CloudWatch to detect anomalous behavior, set alarms, visualize logs and metrics, define automated actions, and rapidly troubleshoot issues. Finally, the book will take you through monitoring AWS billing and costs.By the end of this book, you'll be capable of making decisions that enhance your infrastructure performance and maintain it at its peak.

Big Data on Kubernetes. A practical guide to building efficient and scalable data solutions

Neylson Crepalde

In today's data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you.Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, you’ll progress toward learning how to install Docker and run your first containerized applications. You’ll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. You’ll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, you’ll gain hands-on experience building a complete big data stack on Kubernetes.By the end of this Kubernetes book, you’ll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.

Apache Airflow Best Practices. A practical guide to orchestrating data workflow with Apache Airflow

Dylan Intorf, Dylan Storey, Kendrick van Doorn

Data professionals face the challenge of managing complex data pipelines, orchestrating workflows across diverse systems, and ensuring scalable, reliable data processing. This definitive guide to mastering Apache Airflow, written by experts in engineering, data strategy, and problem-solving across tech, financial, and life sciences industries, is your key to overcoming these challenges. Covering everything from Airflow fundamentals to advanced topics such as custom plugin development, multi-tenancy, and cloud deployment, this book provides a structured approach to workflow orchestration. You’ll start with an introduction to data orchestration and Apache Airflow 2.x updates, followed by DAG authoring, managing Airflow components, and connecting to external data sources. Through real-world use cases, you’ll learn how to implement ETL pipelines and orchestrate ML workflows in your environment, and scale Airflow for high availability and performance. You’ll also learn how to deploy Airflow in cloud environments, tackle operational considerations for scaling, and apply best practices for CI/CD and monitoring.By the end of this book, you’ll be proficient in operating and using Apache Airflow, authoring high-quality workflows in Python, and making informed decisions crucial for production-ready Airflow implementations.

jQuery 1.3 with PHP

jQuery Foundation, Kae Verens

To make PHP applications that respond quickly, avoid unnecessary page reloads, and provide great user interfaces, often requires complex JavaScript techniques and even then, if you get that far, they might not even work across different browsers! With jQuery, you can use one of the most popular JavaScript libraries, forget about cross-browser issues, and simplify the creation of very powerful and responsive interfaces ñ all with the minimum of code.This is the first book in the market that will ease the server-side PHP coder into the client-side world of the popular jQuery JavaScript library.This book will show you how to use jQuery to enhance your PHP applications, with many examples using jQuery's user interface library jQuery UI, and other examples using popular jQuery plugins. It will help you to add exciting user interface features to liven up your PHP applications without having to become a master of client-side JavaScript.This book will teach you how to use jQuery to create some really stunning effects, but without you needing to have in-depth knowledge of how jQuery works. It provides you with everything you need to build practical user interfaces for everything from graphics manipulation to drag-and-drop to data searching, and much more. The book also provides practical demonstrations of PHP and jQuery and explains those examples, rather than starting from how JavaScript works and how it is different from PHP.By the end of this book, you should be able to take any PHP application you have written, and transform it into a responsive, user-friendly interface, with capabilities you would not have dreamed of being able to achieve, all in just a few lines of JavaScript.

Disaster Recovery Using VMware vSphere Replication and vCenter Site Recovery Manager. Disaster Recovery, simplified - Second Edition

Abhilash G B

VMware vCenter Site Recovery manage is an orchestration tool used to automate disaster recovery in a manner that no other solution does. It is programmed to leverage array-based replication and VMware's proprietary vSphere Replication engine.The book begins by talking about the architecture of SRM and guides you through the procedures involved in installing and configuring SRM to leverage array-based replication. You will then learn how to protect your virtual machines by creating Protection Groups and validate their recoverability by testing recovery plans and even performing failover and failback. Moving on, you will learn how to install and configure vSphere Replication as a standalone disaster recovery solution. It also guides you through the procedures involved in configuring SRM to leverage vSphere replication.Finally, you will learn how to deploy and configure vRealize Orchestrator and its plugin for SRM and vSphere Replication.

Unreal Development Kit Game Programming with UnrealScript: Beginner's Guide. Create games beyond your imagination with the Unreal Development Kit

Rachel Cordone

Unreal Development Kit is the free edition of Unreal Engine—the largest game engine in existence with hundreds of shipped commercial titles. The Unreal Engine is a very powerful tool for game development but with something so complex it's hard to know where to start.This book will teach you how to use the UnrealScript language to create your own games with the Unreal Development Kit by using an example game that you can create and play for yourself. It breaks down the UnrealScript language into easy to follow chapters that will quickly bring you up to speed with UnrealScript game programming.Unreal Development Kit Game Programming with UnrealScript takes you through the UnrealScript language for the Unreal Development Kit. It starts by walking through a project setup and setting up programs to write and browse code. It then takes you through using variables, functions, and custom classes to alter the game's behavior and create our own functionality. The use and creation of Kismet is also covered. Later, using replication to create and test multiplayer games is discussed. The book closes with code optimization and error handling as well as a few of the less common but useful features of UnrealScript.

Mastering QGIS. Go beyond the basics and unleash the full power of QGIS with practical, step-by-step examples - Second Edition

Kurt Menke, GISP, Richard Smith Jr., GISP, ...

QGIS is an open source solution to GIS. It is widely used by GIS professionals all over the world. It is the leading alternative to the proprietary GIS software. Although QGIS is described as intuitive, it is also by default complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time.Starting with a refresher on the QGIS basics, this book will take you all the way through to creating your first custom QGIS plugin. From the refresher, we will recap how to create, populate, and manage a spatial database. You’ll also walk through styling GIS data, from creating custom symbols and color ramps to using blending modes. In the next section, you will discover how to prepare vector, heat maps, and create live layer effects, labeling, and raster data for processing. You’ll also discover advanced data creation and editing techniques. The last third of the book covers the more technical aspects of QGIS such as using LAStools and GRASS GIS’s integration with the Processing Toolbox, how to automate workflows with batch processing, and how to create graphical models. Finally, you will see how to create and run Python data processing scripts and write your own QGIS plugin with pyqgis. By the end of the book, you will understand how to work with all the aspects of QGIS, and will be ready to use it for any type of GIS work.

Microsoft Power Platform Solution Architect's Handbook. An expert's guide to becoming a Power Platform solution architect and preparing for the PL-600 exam

Hugo Herrera

If you’ve been looking for a way to unlock the potential of Microsoft Power Platform and take your career as a solution architect to the next level, then look no further—this practical guide covers it all.Microsoft Power Platform Solution Architect’s Handbook will equip you with everything you need to build flexible and cost-effective end-to-end solutions. Its comprehensive coverage ranges from best practices surrounding fit-gap analysis, leading design processes, and navigating existing systems to application lifecycle management with Microsoft Azure DevOps, security compliance monitoring, and third-party API integration.The book takes a hands-on approach by guiding you through a fictional case study throughout the book, allowing you to apply what you learn as you learn it. At the end of the handbook, you’ll discover a set of mock tests for you to embed your progress and prepare for PL-600 Microsoft certification.Whether you want to learn how to work with Power Platform or want to take your skills from the intermediate to advanced level, this book will help you achieve that and ensure that you’re able to add value to your organization as an expert solution architect.

Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques

Kumar Abhishek, Dr. Mounir Abdelaziz

As machine learning practitioners, we often encounter imbalanced datasets in which one class has considerably fewer instances than the other. Many machine learning algorithms assume an equilibrium between majority and minority classes, leading to suboptimal performance on imbalanced data. This comprehensive guide helps you address this class imbalance to significantly improve model performance.Machine Learning for Imbalanced Data begins by introducing you to the challenges posed by imbalanced datasets and the importance of addressing these issues. It then guides you through techniques that enhance the performance of classical machine learning models when using imbalanced data, including various sampling and cost-sensitive learning methods.As you progress, you’ll delve into similar and more advanced techniques for deep learning models, employing PyTorch as the primary framework. Throughout the book, hands-on examples will provide working and reproducible code that’ll demonstrate the practical implementation of each technique.By the end of this book, you’ll be adept at identifying and addressing class imbalances and confidently applying various techniques, including sampling, cost-sensitive techniques, and threshold adjustment, while using traditional machine learning or deep learning models.

Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python

Stefanie Molin

Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value.Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.

Instant LinkedIn Customization How-to. Attract your dream job or customer using the hidden secrets of one of the most powerful social networking websites

Anmol Jain

LinkedIn is a great social media platform which helps you connect with people online professionally. The website is very user friendly and this book itself covers the most important tools for job seekers and professionals as a whole with guaranteed results. Once you learn the basics from this book, you can master and explore the areas you enjoy the most.The book will take you through a broad range of topics on customizing your LinkedIn profile so it's personalized to your needs and preferences.Instant LinkedIn Customization How-to is written in such a way that each recipe is an independent new feature of LinkedIn. You can learn and apply a new concept by just reading any recipe.You will learn about customizing your profile, showcasing your works and projects to other users. Reach out to target recruiters and customers by growing your lifelong network and becoming popular. Discover different ways of finding jobs, using groups and much more.You will learn the art of customizing your profile and experience of networking using LinkedIn.

DWR Java AJAX Applications. A step-by-step example-packed guide to learning professional application development with Direct Web Remoting

Sami Salkosuo

Learning Ansible 2.7. Automate your organization's infrastructure using Ansible 2.7 - Third Edition

Fabio Alessandro Locati

Ansible is an open source automation platform that assists organizations with tasks such as application deployment, orchestration, and task automation. With the release of Ansible 2.7, even complex tasks can be handled much more easily than before.Learning Ansible 2.7 will help you take your first steps toward understanding the fundamentals and practical aspects of Ansible by introducing you to topics such as playbooks, modules, and the installation of Linux, Berkeley Software Distribution (BSD), and Windows support. In addition to this, you will focus on various testing strategies, deployment, and orchestration to build on your knowledge. The book will then help you get accustomed to features including cleaner architecture, task blocks, and playbook parsing, which can help you to streamline automation processes. Next, you will learn how to integrate Ansible with cloud platforms such as Amazon Web Services (AWS) before gaining insights into the enterprise versions of Ansible, Ansible Tower and Ansible Galaxy. This will help you to use Ansible to interact with different operating systems and improve your working efficiency. By the end of this book, you will be equipped with the Ansible skills you need to automate complex tasks for your organization.